Retrieval Based on Indexing for Compressed Domain

An image indexing method is presented to perform the CBIR (content based image retrieval) for about 100 different images. The method is based on the fractal framework of the PIFS (partitioned iterated function systems) widely used for image compression. The image indexing is represented through i-model features. A specific searching algorithm allows to use this representation as an indexing to retrieval an images. To optimize the matching and retrieval process, an indexed data structure is used to store the PIFS and to calculate the distance between the compressed images and the index image. Also, we present the theoretical arguments to justify their use in image retrieval.

[1]  Hyeonjoon Moon,et al.  The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[2]  D. M. Monro,et al.  Fractal approximation of image blocks , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3]  Fan Ce.  An Unprefix Coding(UPC) , 2002 .

[4]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Dietmar Saupe,et al.  Distortion Minimization with Fast Local Search for Fractal Image Compression , 2001, J. Vis. Commun. Image Represent..

[6]  Alex Pentland,et al.  Face Recognition for Smart Environments , 2000, Computer.

[7]  Michele Nappi,et al.  FIRST: Fractal Indexing and Retrieval SysTem for Image Databases , 1998, Image Vis. Comput..

[8]  Arnaud E. Jacquin,et al.  Image coding based on a fractal theory of iterated contractive image transformations , 1992, IEEE Trans. Image Process..

[9]  Ming Hong Pi,et al.  Fast fractal image encoding based on adaptive search , 2001, IEEE Trans. Image Process..

[10]  Soumitra Kar,et al.  Retrieving faces by the PIFS fractal code , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

[11]  Ian F. Blake,et al.  On the performance of fractal compression with clustering , 1996, IEEE Trans. Image Process..